@article{ijbrm2025611,
author={{Ghaida, Wassim Abou and Baklizi, Ayman},
title={Parameter Estimation and Bayesian Prediction in the Log-logistic Distribution under Type-II Censored Data},
journal={International Journal of Business and Risk Management},
volume={6},
number={1},
pages={11--18},
year={2025},
url={https://pubs.sciepub.com/ijbrm/6/1/1},
abstract={We consider Bayesian inference and point prediction in log-logistic distribution based on type-II censored data. We assume that the scale and shape parameters have independent gamma priors. The Bayes estimators cannot be obtained in closed form; therefore, we use Metropolis Hasting algorithm to approximate the Bayes estimates of the unknown scale and shape parameters. We compare the performance of the Bayes estimator with the Maximum Likelihood estimators. In addition, we obtained the Bayesian credibility intervals and compared them with the Wald intervals. Moreover, we derived Bayesian point and interval predictors for future observation and investigated their performance using simulation techniques. And finally, we analysed real data set for illustration purposes.},
doi={10.12691/ijbrm-6-1-1}
publisher={Science and Education Publishing}
}